id stringlengths 12 12 | created timestamp[s]date 2026-01-01 00:00:00 2026-01-01 00:00:00 | topic stringclasses 15
values | task_type stringclasses 12
values | difficulty stringclasses 2
values | instruction stringlengths 176 230 | input stringclasses 1
value | output stringclasses 11
values | metadata dict | hash stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|
train_008200 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | advanced | Task: code
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ce22b8b51f5c53966839c91842be5efac1bf16d6 | |
train_008201 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | expert | Task: data_pipeline
Topic: Self-grading and automated model critique
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 473aa77d11c11b6617f67d5de5deda3d249469ba | |
train_008202 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | expert | Task: agent_loop
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 350b4e4b0d643944ca504a426b990e90631768c9 | |
train_008203 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | eval | expert | Task: eval
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | b0b88cbdb52c6e24b418eca2316d38c7713916e1 | |
train_008204 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | expert | Task: self_grade
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 1e2eb5d2f9bb0c483f629c77134900c9a56b1fb1 | |
train_008205 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | design | expert | Task: design
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0f8e9b13d4395d91450c3f29031f88cd6fcdd48a | |
train_008206 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | self_grade | expert | Task: self_grade
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | b03f734707450ebd2482a29bb2c849e00bc914a7 | |
train_008207 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | failure_analysis | expert | Task: failure_analysis
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 057e66004362b2e784ce637df79ce62245dd4069 | |
train_008208 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | explain | expert | Task: explain
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 20f656c3d51fa71d36b1c1078c1728917572d20a | |
train_008209 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | data_pipeline | expert | Task: data_pipeline
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | f319cf15d361342b6d41a17a6a6feb2d57525436 | |
train_008210 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | advanced | Task: data_pipeline
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 349d396b5a5499aed9a3c2d553d7856bec0c71a2 | |
train_008211 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | tool_trace | expert | Task: tool_trace
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "C#",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | cda71665b97a043dce1c96c391e5ce005e93a45c | |
train_008212 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | design | advanced | Task: design
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 779aa7c29e5906ed443ae1aa281a49f4b6665d44 | |
train_008213 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | failure_analysis | advanced | Task: failure_analysis
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | e8dd848ed1e8418219c2f88b810875912e3d219e | |
train_008214 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | patch_diff | advanced | Task: patch_diff
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 7f93e3617c9e556ec9dc72b4ad2d69c7a70485e3 | |
train_008215 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | design | advanced | Task: design
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | ba64e69b8299d009a7adc757da07fbaa626d2422 | |
train_008216 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | advanced | Task: tool_trace
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | be479522072426273463829720e9f33b6e126230 | |
train_008217 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | advanced | Task: data_pipeline
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 4cba24632bd28a15ecdec8e7e1d3f0c52c1c5bf1 | |
train_008218 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | advanced | Task: code
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | aa12c88a2d5535d392f5bb246d5d7ed1a0f092df | |
train_008219 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 8db65367a5853eea4829effdbd8bc0ce5a2f6bf4 | |
train_008220 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | advanced | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 7434fe4aeffd85a68c4bb8f14b74da2d08faad9f | |
train_008221 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6b2ec4db9565cfc56d3659dbf50ee6fc660ebdfa | |
train_008222 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | advanced | Task: eval
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 991e063358904cd6075fdf7c8e6702051114e087 | |
train_008223 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | advanced | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | af8780f9d14a76d19a61637ff9a619b7282bc15e | |
train_008224 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | advanced | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | b8225324ddd29f358b5c99c05f2d273c4273e320 | |
train_008225 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | expert | Task: data_pipeline
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 2c12a9571dbeb2ef033bd9066d2f56acd036abbf | |
train_008226 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | advanced | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c69d41ba412ec421889e3d2f6b68a4ab84441c00 | |
train_008227 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | advanced | Task: design
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | daa601f7aee3258bca0ccd531ec1abb9a63f8a37 | |
train_008228 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | expert | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 84c93e627a08b33581205fa4e8bf528f748fda0c | |
train_008229 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | expert | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 41791728e1db3b6ab26e58d39eff9c9b41d8a0c9 | |
train_008230 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | compare | expert | Task: compare
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | fa8c065375637fb28fb55f68e326b04f3c495460 | |
train_008231 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | review | advanced | Task: review
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a2773dea1b42186e6b70778ca93516f563516eef | |
train_008232 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | expert | Task: data_pipeline
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | d822b7c277405972b173e1ff7b77e938f7b16dc2 | |
train_008233 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | self_grade | advanced | Task: self_grade
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 659ea3b9fefdd0f519edafe434370c5dacd1af5e | |
train_008234 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | bd641840bbe78b33ffa920e67b1da896a5ca1a9f | |
train_008235 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | expert | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 65ffbf2208afe9e075075d7b33fc7bb504d85644 | |
train_008236 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | fcb9a78572776723708dd86daa13cc676edf22cb | |
train_008237 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | e49ea2f2dfb62099fcf5397299bc57b467229c61 | |
train_008238 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | expert | Task: review
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 60f3fa6840b5cdb974609b8c1bf3859475bd6a7b | |
train_008239 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | tool_trace | advanced | Task: tool_trace
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 54b585ced67cb1ef6b714188f499fe088e3f5314 | |
train_008240 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | advanced | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | dfe5c363a1ba32548eda56111f61c78803f8dffb | |
train_008241 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | advanced | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 7d0e88653621029c26c87ac776dbba54a0e081a1 | |
train_008242 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | expert | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | b056c3de31a55e804e32a9ef1d62c966f64fcba1 | |
train_008243 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | advanced | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b46bfaebe8c0f5989585a2b8d1772195e68c4b41 | |
train_008244 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | advanced | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 3d3ff2e39842660ff24df67bba55ab17890b05c0 | |
train_008245 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | advanced | Task: tool_trace
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 96d0cca2720ff2cceb14e485c3d1235aa997f202 | |
train_008246 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | agent_loop | advanced | Task: agent_loop
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5008de4f627e6f0eb81acb31985ca9cc03652cc8 | |
train_008247 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | data_pipeline | advanced | Task: data_pipeline
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | cf9b5cfc378f414ed0d1954a4e0c7900da1af670 | |
train_008248 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | advanced | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 069822c6603271a45bb76e23642d671817166eb7 | |
train_008249 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 79274bed166f7221c6c3f986ed0ec02539fc5fb9 | |
train_008250 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | expert | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 8e0392099c1f049d5bf9355197c52f7b8d58c8ad | |
train_008251 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | data_pipeline | expert | Task: data_pipeline
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | d569d8c976522da8316b4c522eff34d6bcce0aa7 | |
train_008252 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | advanced | Task: explain
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8231ed40c212f25b1f3079c057477b52576c1fd7 | |
train_008253 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | advanced | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 590ee2014700ca06bac46537ff7b0ff991897b66 | |
train_008254 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | expert | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 29e46f9a233e53b81e021d6809056d1e58994734 | |
train_008255 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4293c3d0aea19fcec2f65d68a193c158a32c8890 | |
train_008256 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | advanced | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 447755180261688e39a205f46dbd789b81d54e13 | |
train_008257 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 00de19cc09770f2579c1c7ed38beca6c22750754 | |
train_008258 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | code | advanced | Task: code
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 38e76779466257e1c7b0dd04e5c77cba47700ab5 | |
train_008259 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6a6091bb2b545a8f44c1b7a83b999cc66e2d330b | |
train_008260 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | expert | Task: review
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | cbcbcea1c075e7714a36a61bc6f2cad6a90076a6 | |
train_008261 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | expert | Task: code
Topic: Self-grading and automated model critique
Difficulty: expert
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f793ee0d8a9d8a13cf7365878d3d0543a5aa6e8b | |
train_008262 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | expert | Task: failure_analysis
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 458f14dcd883e04df43989012b0c43d2322795f1 | |
train_008263 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | advanced | Task: code
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | f5dbb675c062aae94045c852a386ffd55b78c3cc | |
train_008264 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | expert | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | c07a7b1ba86b9999016bc8c2f7edc0438e9b252b | |
train_008265 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | expert | Task: explain
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 62aba1337de31da34597feacf49d48a9b421a8d5 | |
train_008266 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | c44d2a3609e7b3b27ee3e6cd96caa76f975a8136 | |
train_008267 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | agent_loop | expert | Task: agent_loop
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 093e8b4a0f49948553a5b303d5d4b759f5ede253 | |
train_008268 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | advanced | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3603fd1a7f6d3e835ed22bf48f6e76784143bf92 | |
train_008269 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | advanced | Task: self_grade
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 0bc899bb8039abcac32f0d5db4483e442124a4a5 | |
train_008270 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | expert | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 716bab34bf834a36bb2c8c2e69c23efe7f973195 | |
train_008271 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | expert | Task: data_pipeline
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 95fc4d74b1542d1b1a4741dbbbd8c1bc9e2b578d | |
train_008272 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | expert | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | a6c7a878fc5bb15d8e58c54ddacd0b9fe12de4b6 | |
train_008273 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | advanced | Task: explain
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 705b969e1931a8c25d16291fbe45cd96026c3f08 | |
train_008274 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | expert | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | d769c1e13198c3173c6e2c4d8e5d218382faaf9c | |
train_008275 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 1ac1999ba49c245ba4bd2a0bd124596ed9cf887a | |
train_008276 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | advanced | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | d9a8f9b242e3e3f79263d4b870b9b2715b831ce7 | |
train_008277 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | data_pipeline | advanced | Task: data_pipeline
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | fc334d52f193bac18c35da761c59165ee2af6693 | |
train_008278 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | feadd743ae6ab67f675d2a7de231d9ece2ca5af2 | |
train_008279 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 84903fdf9642cff3bff2017230dcb5e7409714c4 | |
train_008280 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | tool_trace | expert | Task: tool_trace
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "C#",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 29e07740cde3c0786cb2c3db4212b32f1b0a84dc | |
train_008281 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | expert | Task: eval
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ee5deb8649614fa86cac03bda12ef2ce829e4dde | |
train_008282 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | data_pipeline | expert | Task: data_pipeline
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 044288feab7378d729bedea61841c74493b07cb3 | |
train_008283 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | advanced | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"data",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 19f19c1fb746aa966385e88d834b2984854dbf85 | |
train_008284 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | expert | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 797d156a37231ee25f0459b11ee4748ab57fe255 | |
train_008285 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | design | advanced | Task: design
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: TypeScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"security",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 745b87d1d2c8dac9da5873e40668ae4b78cfa51d | |
train_008286 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | expert | Task: review
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | aeaf616d20c95e1aea1ac2a376289071e2ba4eb0 | |
train_008287 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | expert | Task: design
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 58f38284085a133352bb60853778d0148d30f69f | |
train_008288 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | failure_analysis | expert | Task: failure_analysis
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 9e59f20082931f76b936e49794f1182ddb66c1ca | |
train_008289 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | expert | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6bbb2d9f20f2d14660b117c90b520472a147c9b7 | |
train_008290 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | expert | Task: self_grade
Topic: Self-grading and automated model critique
Difficulty: expert
Language: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 7c5e468d3a3da546a13f56167a6a8096bc0dcc7e | |
train_008291 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | code | expert | Task: code
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 8b3d9111fe60969a696e1ab670776f3dc6bb4125 | |
train_008292 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 224f43f3dd065b285f1980b51e2fe9949e51eaf5 | |
train_008293 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | advanced | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 50d48f81befd0f12e005aee1eb93af178d79efba | |
train_008294 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | expert | Task: agent_loop
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 173f3a8ee9308a9454a9150222bc4987bf2d4fc0 | |
train_008295 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | expert | Task: data_pipeline
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 2c12a9571dbeb2ef033bd9066d2f56acd036abbf | |
train_008296 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | design | expert | Task: design
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 1e01be2266609278300e3935d356f0e5936f99ec | |
train_008297 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | expert | Task: compare
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 601fad7380f323cfc2beffac7cc2a5d66358e00e | |
train_008298 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | expert | Task: compare
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f27bc5c9e1af18bb1464c02012ba88a7919e1aaf | |
train_008299 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | expert | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 9aa274526ef46fce38e897aa35f6f260e325491e |
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